Download or read book Sequential Methods in Pattern Recognition and Machine Learning written by K.C. Fu and published by Academic Press. This book was released on 1968 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sequential Methods in Pattern Recognition and Machine Learning

Download or read book Pattern Recognition and Machine Learning written by Christopher M. Bishop and published by Springer. This book was released on 2016-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Download or read book Patterns Predictions and Actions Foundations of Machine Learning written by Moritz Hardt and published by Princeton University Press. This book was released on 2022-08-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they need to assess the consequences that may arise from acting on statistical decisions. Provides a modern introduction to machine learning, showing how data patterns support predictions and consequential actions Pays special attention to societal impacts and fairness in decision making Traces the development of machine learning from its origins to today Features a novel chapter on machine learning benchmarks and datasets Invites readers from all backgrounds, requiring some experience with probability, calculus, and linear algebra An essential textbook for students and a guide for researchers

Download or read book Neural Networks for Pattern Recognition written by Christopher M. Bishop and published by Oxford University Press. This book was released on 1995-11-23 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Parameter optimization algorithms; Pre-processing and feature extraction; Learning and generalization; Bayesian techniques; Appendix; References; Index.

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1964 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computer Literature Bibliography 1964 1967 written by W. W. Youden and published by . This book was released on 1965 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book NBS Special Publication written by and published by . This book was released on 1968 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Recognition of Patterns written by Peter W. Becker and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work described in this publication was initiated at the General Electric Company's Electronics Laboratory, Syracuse, N.Y., U.S.A. The author would like to take this opportunity to express his gratitude to the Electronics Laboratory for its support and encouragement in this work. Thanks are in particular due to Mr. J.J. Suran for his continued interest and help. It is impossible to acknowledge all the help the author has re ceived from members of the Laboratory staff. However, the author is par ticularly indebted to Mr. T.C. Robbins for managing the building of the word recognizer (described in Section 7.4) and for many helpful discussions. Thanks are also due to Mr. W.E. Sollecito for valued support and direction, and to S.M. Korzekwa, S.B. Akers, Jr., and B.L. Crew for many discussions on implementation and design of pattern recognizers. Part of the work has been sponsored by two departments of the General Electric Company, the Large Jet Engine Department and the Apollo Support Department. The author is grateful for the permission from the two departments to publish results of theoretical interest in this dissertation. The work was later continued in Denmark, supported by two grants: no.

Download or read book Adaptive Learning and Pattern Recognition Systems theory and applications written by Mendel and published by Academic Press. This book was released on 1970-02-28 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive, Learning, and Pattern Recognition Systems; theory and applications

Download or read book The Artificial Intelligence Compendium Abstracts II written by and published by . This book was released on 1988 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Functional Description of the Edvac an Automatically sequence Serial Binary Electronic Digital Computer written by Moore School of Electrical Engineering and published by . This book was released on 1949 with total page 1794 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computer Oriented Approaches to Pattern Recognition written by Meisel and published by Academic Press. This book was released on 1972-07-31 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer-Oriented Approaches to Pattern Recognition

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Download or read book Data Fusion for Situation Monitoring Incident Detection Alert and Response Management written by E. Shahbazian and published by IOS Press. This book was released on 2006-03-02 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Fusion is a very broad interdisciplinary technology domain. It provides techniques and methods for; integrating information from multiple sources and using the complementarities of these detections to derive maximum information about the phenomenon being observed; analyzing and deriving the meaning of these observations and predicting possible consequences of the observed state of the environment; selecting the best course of action; and controlling the actions. Here, the focus is on the more mature phase of data fusion, namely the detection and identification / classification of phenomena being observed and exploitation of the related methods for Security-Related Civil Science and Technology (SST) applications. It is necessary to; expand on the data fusion methodology pertinent to Situation Monitoring, Incident Detection, Alert and Response Management; discuss some related Cognitive Engineering and visualization issues; provide an insight into the architectures and methodologies for building a data fusion system; discuss fusion approaches to image exploitation with emphasis on security applications; discuss novel distributed tracking approaches as a necessary step of situation monitoring and incident detection; and provide examples of real situations, in which data fusion can enhance incident detection, prevention and response capability. In order to give a logical presentation of the data fusion material, first the general concepts are highlighted (Fusion Methodology, Human Computer Interactions and Systems and Architectures), closing with several applications (Data Fusion for Imagery, Tracking and Sensor Fusion and Applications and Opportunities for Fusion).

Download or read book On Generalizations of Adaptive Algorithms and Application of the Fuzzy Sets Concept to Pattern Classification written by William Go Wee and published by . This book was released on 1982 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Pattern Recognition written by Sergios Theodoridis and published by Elsevier. This book was released on 2003-05-15 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms.*Approaches pattern recognition from the designer's point of view*New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere*Supplemented by computer examples selected from applications of interest

Download or read book Technical Report written by Purdue University. School of Electrical Engineering and published by . This book was released on 1967 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: